A Fuzzy Comprehensive Evaluation Method Based on AHP and Entropy for a Landslide Susceptibility Map
Landslides are a common type of natural disaster in mountainous areas. As a result of the comprehensive influences of geology, geomorphology and climatic conditions, the susceptibility to landslide hazards in mountainous areas shows obvious regionalism. The evaluation of regional landslide susceptib...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2017-08-01
|
| Series: | Entropy |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1099-4300/19/8/396 |
| _version_ | 1828116048640999424 |
|---|---|
| author | Hongliang Zhao Leihua Yao Gang Mei Tianyu Liu Yuansong Ning |
| author_facet | Hongliang Zhao Leihua Yao Gang Mei Tianyu Liu Yuansong Ning |
| author_sort | Hongliang Zhao |
| collection | DOAJ |
| description | Landslides are a common type of natural disaster in mountainous areas. As a result of the comprehensive influences of geology, geomorphology and climatic conditions, the susceptibility to landslide hazards in mountainous areas shows obvious regionalism. The evaluation of regional landslide susceptibility can help reduce the risk to the lives of mountain residents. In this paper, the Shannon entropy theory, a fuzzy comprehensive method and an analytic hierarchy process (AHP) have been used to demonstrate a variable type of weighting for landslide susceptibility evaluation modeling, combining subjective and objective weights. Further, based on a single factor sensitivity analysis, we established a strict criterion for landslide susceptibility assessments. Eight influencing factors have been selected for the study of Zhen’an County, Shan’xi Province: the lithology, relief amplitude, slope, aspect, slope morphology, altitude, annual mean rainfall and distance to the river. In order to verify the advantages of the proposed method, the landslide index, prediction accuracy P, the R-index and the area under the curve were used in this paper. The results show that the proposed model of landslide hazard susceptibility can help to produce more objective and accurate landslide susceptibility maps, which not only take advantage of the information from the original data, but also reflect an expert’s knowledge and the opinions of decision-makers. |
| first_indexed | 2024-04-11T12:50:48Z |
| format | Article |
| id | doaj.art-8d2476518d0b4470a4e68df44b4e926c |
| institution | Directory Open Access Journal |
| issn | 1099-4300 |
| language | English |
| last_indexed | 2024-04-11T12:50:48Z |
| publishDate | 2017-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Entropy |
| spelling | doaj.art-8d2476518d0b4470a4e68df44b4e926c2022-12-22T04:23:13ZengMDPI AGEntropy1099-43002017-08-0119839610.3390/e19080396e19080396A Fuzzy Comprehensive Evaluation Method Based on AHP and Entropy for a Landslide Susceptibility MapHongliang Zhao0Leihua Yao1Gang Mei2Tianyu Liu3Yuansong Ning4School of Engineering and Technology, China University of Geosciences (Beijing), Beijing 100083, ChinaSchool of Engineering and Technology, China University of Geosciences (Beijing), Beijing 100083, ChinaSchool of Engineering and Technology, China University of Geosciences (Beijing), Beijing 100083, ChinaSchool of Engineering and Technology, China University of Geosciences (Beijing), Beijing 100083, ChinaBeijing General Research Institute of Mining & Metallurgy, Beijing 100160, ChinaLandslides are a common type of natural disaster in mountainous areas. As a result of the comprehensive influences of geology, geomorphology and climatic conditions, the susceptibility to landslide hazards in mountainous areas shows obvious regionalism. The evaluation of regional landslide susceptibility can help reduce the risk to the lives of mountain residents. In this paper, the Shannon entropy theory, a fuzzy comprehensive method and an analytic hierarchy process (AHP) have been used to demonstrate a variable type of weighting for landslide susceptibility evaluation modeling, combining subjective and objective weights. Further, based on a single factor sensitivity analysis, we established a strict criterion for landslide susceptibility assessments. Eight influencing factors have been selected for the study of Zhen’an County, Shan’xi Province: the lithology, relief amplitude, slope, aspect, slope morphology, altitude, annual mean rainfall and distance to the river. In order to verify the advantages of the proposed method, the landslide index, prediction accuracy P, the R-index and the area under the curve were used in this paper. The results show that the proposed model of landslide hazard susceptibility can help to produce more objective and accurate landslide susceptibility maps, which not only take advantage of the information from the original data, but also reflect an expert’s knowledge and the opinions of decision-makers.https://www.mdpi.com/1099-4300/19/8/396Shannon entropyfuzzy comprehensive evaluationAHPlandslide |
| spellingShingle | Hongliang Zhao Leihua Yao Gang Mei Tianyu Liu Yuansong Ning A Fuzzy Comprehensive Evaluation Method Based on AHP and Entropy for a Landslide Susceptibility Map Entropy Shannon entropy fuzzy comprehensive evaluation AHP landslide |
| title | A Fuzzy Comprehensive Evaluation Method Based on AHP and Entropy for a Landslide Susceptibility Map |
| title_full | A Fuzzy Comprehensive Evaluation Method Based on AHP and Entropy for a Landslide Susceptibility Map |
| title_fullStr | A Fuzzy Comprehensive Evaluation Method Based on AHP and Entropy for a Landslide Susceptibility Map |
| title_full_unstemmed | A Fuzzy Comprehensive Evaluation Method Based on AHP and Entropy for a Landslide Susceptibility Map |
| title_short | A Fuzzy Comprehensive Evaluation Method Based on AHP and Entropy for a Landslide Susceptibility Map |
| title_sort | fuzzy comprehensive evaluation method based on ahp and entropy for a landslide susceptibility map |
| topic | Shannon entropy fuzzy comprehensive evaluation AHP landslide |
| url | https://www.mdpi.com/1099-4300/19/8/396 |
| work_keys_str_mv | AT hongliangzhao afuzzycomprehensiveevaluationmethodbasedonahpandentropyforalandslidesusceptibilitymap AT leihuayao afuzzycomprehensiveevaluationmethodbasedonahpandentropyforalandslidesusceptibilitymap AT gangmei afuzzycomprehensiveevaluationmethodbasedonahpandentropyforalandslidesusceptibilitymap AT tianyuliu afuzzycomprehensiveevaluationmethodbasedonahpandentropyforalandslidesusceptibilitymap AT yuansongning afuzzycomprehensiveevaluationmethodbasedonahpandentropyforalandslidesusceptibilitymap AT hongliangzhao fuzzycomprehensiveevaluationmethodbasedonahpandentropyforalandslidesusceptibilitymap AT leihuayao fuzzycomprehensiveevaluationmethodbasedonahpandentropyforalandslidesusceptibilitymap AT gangmei fuzzycomprehensiveevaluationmethodbasedonahpandentropyforalandslidesusceptibilitymap AT tianyuliu fuzzycomprehensiveevaluationmethodbasedonahpandentropyforalandslidesusceptibilitymap AT yuansongning fuzzycomprehensiveevaluationmethodbasedonahpandentropyforalandslidesusceptibilitymap |